• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.334-342
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• 2022

Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.11
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• pp.3738-3760
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• 2022

Due to increasing spectrum demand for new wireless devices applications, cooperative spectrum sensing (CSS) paradigm is the most promising solution to alleviate the spectrum shortage problem. However, in the interweave cognitive radio (CR) system, the inherent nature of CSS opens a hole to Byzantine attack, thereby resulting in a significant drop of the CSS security and efficiency. In view of this, a weighted differential sequential single symbol (WD3S) algorithm based on MATLAB platform is developed to accurately identify malicious users (MUs) and benefit useful sensing information from their malicious reports in this paper. In order to achieve this, a dynamic Byzantine attack model is proposed to describe malicious behaviors for MUs in an interweave CR system. On the basis of this, a method of data transmission consistency verification is formulated to evaluate the global decision's correctness and update the trust value (TrV) of secondary users (SUs), thereby accurately identifying MUs. Then, we innovatively reuse malicious sensing information from MUs by the weight allocation scheme. In addition, considering a high spectrum usage of primary network, a sequential and differential reporting way based on a single symbol is also proposed in the process of the sensing information submission. Finally, under various Byzantine attack types, we provide in-depth simulations to demonstrate the efficiency and security of the proposed WD3S.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.630-646
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• 2022

This study examines online art platforms as a new type of informational technology and seeks to verify the impact of the user's perceived value and acceptance of new technologies on the behavioral intention about art platforms. For this, it was conducted to survey 489 users of the online art platform. Several emotional value, functional value, social value, and value for money were selected as perceived value variables, and performance expectancy, effort expectancy, and facilitating conditions were set as variables of new technology adaptation. As evident in the correlation with perceived values, emotional value and social value have a significant impact on all parameters of new technology adaptation, while functional values and value for money only affect facilitating conditions and behavioral intention, respectively. Furthermore, the impact of acceptance of new technologies confirms that performance expectancy and facilitating conditions affect behavioral intention. This study demonstrates the perceived value of online art platform users and the acceptance of new technologies. Therefore, it is expected that platform providers will be able to use it as primary data to understand and reflect user requirements.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.5
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• pp.103-111
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• 2009

In this paper, we implement the web-based education system on CMS(Contents Management System). The goal of this paper is that Everyone who uses this system will use and maintain the web site easily. All procedures can be performed on the web and all content by the manager can be applied to users. This allows both user and administrator to use the web-based education system in a better environment. This system also will try to cover all user levels by providing web standards. So more user can use the standard web service without worrying about time and space. For this reason, this system will be developed with web standard guide so that all users won't experience any problems with the browsers of primary platforms complying with W3C. This paper can provide the possibility to overcome the limitations of current web-based education system.

• Journal of Information Technology Applications and Management
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• v.31 no.1
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• pp.113-122
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• 2024

This comprehensive study delves into the analysis of user review data across various metaverse platforms, employing advanced text mining techniques such as TF-IDF and Word2Vec to gain insights into user perceptions. The primary objective is to uncover the factors that contribute to user satisfaction and dissatisfaction, thereby providing a nuanced understanding of user experiences in the metaverse. Through TF-IDF analysis, the research identifies key words and phrases frequently mentioned in user reviews, highlighting aspects that resonate positively with users, such as the ability to engage in creative activities and social interactions within these virtual environments. Word2Vec analysis further enriches this understanding by revealing the contextual relationships between words, offering a deeper insight into user sentiments and the specific features that enhance their engagement with the platforms. A significant finding of this study is the identification of common grievances among users, particularly related to the processes of refunds and login, which point to broader issues within payment systems and user interface designs across platforms. These insights are critical for developers and operators of metaverse platforms, suggesting a focused approach towards enhancing user experiences by amplifying positive aspects. The research underscores the importance of continuous improvement in user interface design and the transparency of payment systems to foster a loyal user base. By providing a comprehensive analysis of user reviews, this study offers valuable guidance for the strategic development and optimization of metaverse platforms, ensuring they remain responsive to user needs and continue to evolve as vibrant, engaging virtual environments.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.2
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• pp.289-316
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• 2024

This study aimed to develop and validate a research model to investigate how the service quality of public libraries, where a 3-dimensional service quality model was applied, impacts user satisfaction and loyalty. We collected 353 valid responses through a survey targeting public library users across 21 locations, considering various regional and library-specific characteristics. Our analysis revealed that physical environment quality (PQ), interaction quality (IQ), and outcome quality (OQ) of service quality influence user satisfaction (US). Additionally, outcome quality (OQ) of service quality impacts user loyalty (UL), and user satisfaction (US) affects user loyalty (UL). We also found that quality improvement is a leading factor for user satisfaction, user satisfaction is the primary factor of user loyalty, and the perception of service quality directly and indirectly affects user satisfaction and loyalty. We concluded that continuous research should be actively conducted to respond to the evolving needs of public library users.

• The Korean journal of internal medicine
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• v.39 no.2
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• pp.306-317
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• 2024

Background/Aims: To determine whether metformin, which is considered a host-directed therapy for tuberculosis (TB), is effective in improving the prognosis of patients with TB and diabetes mellitus (DM), who have higher mortality than those without DM. Methods: This cohort study included patients who were registered as having TB in the National Tuberculosis Surveillance System. The medical and death records of matched patients were obtained from the National Health Information Database and Statistics Korea, respectively, and data from 2011 to 2017 were collected retrospectively. We classified patients according to metformin use among participants who used diabetes drugs for more than 28 days. The primary outcome was all-cause mortality during TB treatment. Double propensity score adjustment was applied to reduce the effects of confounding and multivariable Cox proportional hazard models were used to estimate adjusted hazard ratio (aHR) with 95% confidence interval (CI). Results: The all-cause mortality rate during TB treatment was lower (9.5% vs. 12.4%, p < 0.01) in the metformin user group. The hazard of death due to all causes after double propensity score adjustment was also lower in the metformin user group (aHR 0.76, 95% CI 0.67-0.86, p < 0.01). There was no significant difference in mortality between metformin users and non-users for TB-related deaths (p = 0.22); however, there was a significant difference in the non-TB-related deaths (p < 0.01). Conclusions: Metformin use in patients with TB-DM co-prevalence is associated with reduced all-cause mortality, suggesting the potential for metformin adjuvant therapy in these patients.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.334-345
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• 2024

With the advent of Metaverse, a promising new era for business on virtual reality (VR) platforms has dawned. In this rapidly expanding Metaverse platform, the potential for virtual fashion marketing through avatars is vast, with leading fashion brands already making strides by creating virtual fashion stores or hosting virtual fashion shows. However, the research on fashion-related industries in this newly emerging virtual world platform is still in its infancy. This study sought to identify the relationship between the characteristics of the Metaverse and the factors that influence how the perceived value of virtual fashion products affects purchase intention. A survey was conducted with three hundred Korean respondents, and the hypothesis was verified through analysis using the SPSS statistical program. Our analysis revealed that the sense of presence significantly influences the value of fashion products on the Metaverse platform. As a result, the sense of presence significantly influenced the emotional, visual authority, and economic value of the avatar virtual fashion perceived by users. Second, enjoyment, visual authority, and economic value influence users' intention to purchase virtual fashion items. In addition, all of these perceived value factors were confirmed to have a significant partial mediating effect on the impact of the presence of the Metaverse platform on the purchase intention. Through this study, we empirically analyzed the causal relationship between the characteristics of the Metaverse platform and the virtual fashion experience using avatars - a topic that has yet to be covered. We formed new insights into virtual fashion consumption, providing primary data for related research streams. Our survey respondents consisted only of those with recent Metaverse experience, so the research results were highly effective.

• Korean Institute of Interior Design Journal
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• v.16 no.2 s.61
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• pp.97-104
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• 2007

At a time of emphasized need for user-oriented design, methods such as Post Occupancy Evaluation are being used to measure the exact demands of the users. The conventional methods, however, have mostly been conducted based on questionnaires printed on paper, which has posed numerous problems in researches designed to measure the visual demands. Along with the continued development of the internet and computer media, there have been examples of interactive media applications as a means of improving the existing paper-based research methods. This study is a follow-up to the primary study that unveiled cautious variances of the media. 200 samples of media-based researches were extracted to be used in analysis of in-depth visual demands. 200 housewives from rural Iud development zones, who exercises the most influence in household purchases in these regions where the problem of rate of distribution Is coming under the limelight, were chosen as the subjects. The subjects were selected from land development zones of Gimhae-si and Haeundae. At first, the research was prepared as a web-based endeavor but it employed direct research of field personnel in consideration of that this research is in the beginning. This follow-up study deals mainly with the visual demands for which cautious variances were detected in the primary study and includes analysis of mainly ground Plan layout, space coloration, livingroom utilization, and vlsual composition of LDK. Media research had the advantage of zero rate of questionnaire error due to a pre-programmed search routine, and it was possible to ascertain the actual trade-off basis demands of the residents in terms of ground plan layout. In addition, whereas conventional research methods based on still images were susceptible to the preconceptions of the respondents, the interactive media allowed for easy understanding of the spatial layout and thus made it possible for all respondents to provide answers under the same conditions.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.2
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• pp.287-293
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• 2013

Cognitive radio has been recently proposed to dynamically access unused-spectrum. The CR users can share the same frequency band with the primary user without interference to each other. Usually each CR user needs to determine spectrum availability by itself depending only on its local observations. But uncertainty communication environment effects can be mitigated so that the detection probability is improved in a heavily shadowed environment. Soft detection is a primary user detection method of cooperative cognitive radio networks. In our research, we will improve system detection probability by using optimal cooperative node selection algorithm. New algorithm can find optimal number of cooperative sensing nodes for cooperative soft detection by using maximum ratio combining (MRC) method. Through analysis, proposed cooperative node selection algorithm can select optimal node for cooperative sensing according to the system requirement and improve the system detection probability.